How can you use circulation data to inform resource allocation?

Circulation data serves as a valuable tool for school librarians to make informed decisions regarding resource allocation. By analyzing borrowing patterns, we can identify popular materials and subjects, ensuring that our collections reflect the interests and needs of our students. This data also helps in optimizing budget allocation, allowing us to invest in resources that are in high demand and align with curriculum objectives. Moreover, tracking circulation trends over time enables us to anticipate future needs and adapt our collection development strategies accordingly, ultimately enhancing the effectiveness and relevance of our library resources.

collecting comprehensive circulation data from your LMS or ILS is essential for analyzing library usage and trends. Exporting data in formats like CSV, XML, or JSON, or accessing it programmatically via an API, provides the flexibility needed for effective data handling. Including key variables such as item identifier, title, author, and checkout date, along with additional relevant information like acquisition date or ratings, is crucial. This approach ensures that you have a rich dataset for analysis, enabling you to make informed decisions and enhance library services.

cleaning the circulation data is a critical step to ensure its accuracy and consistency. Utilizing tools like spreadsheet programs, database programs, or scripting languages can help in this process. It's important to address issues such as missing values, duplicates, outliers, and typos, and to standardize elements like date formats and subject headings for easier comparison. Additionally, filtering out irrelevant or confidential data, such as non-circulating items or patron identifiers, helps maintain the focus and integrity of the analysis. This meticulous cleaning process lays the foundation for reliable and insightful data analysis.

analyzing the circulation data is crucial for uncovering patterns, trends, and insights. Utilizing various statistical methods like descriptive and inferential statistics, correlation and regression analysis, and cluster and factor analysis can provide a comprehensive understanding of the data. Aim to answer relevant questions for resource allocation decisions, such as identifying the most and least popular items among different patron groups, understanding how circulation varies by season, time, or item characteristics, and assessing its impact on item condition, availability, and turnover. Additionally, consider how circulation data reflects patron satisfaction, feedback, or demand.

To communicate findings from circulation data, use simple charts, graphs, or maps. Choose visuals that suit your audience and message. Follow best practices like clear titles, appropriate scales, and highlighting key points. This helps inform library resource allocation, improve services, and identify areas for innovation.